Titre:	Evaluation of low-cost MEMS accelerometers for SHM : frequency and damping identification of civil structures
Auteur(s):	Ribeiro, Renan Rocha Lameiras, Rodrigo de Melo
metadata.dc.identifier.orcid:	http://orcid.org/0000-0002-7699-3171 http://orcid.org/0000-0003-3804-9427
Assunto::	Engenharia de estruturas Engenharia - instrumentos
Date de publication:	2019
Editeur:	Associação Brasileira de Ciências Mecânicas
Référence bibliographique:	RIBEIRO, Renan Rocha; LAMEIRAS, Rodrigo de Melo. Evaluation of low-cost MEMS accelerometers for SHM: frequency and damping identification of civil structures. Latin American Journal of Solids and Structures, Rio de Janeiro, v. 16, n. 7, e203, 2019. DOI: http://dx.doi.org/10.1590/1679-78255308. Disponível em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252019000700704&lng=en&nrm=iso. Acesso em: 14 nov. 2019. Epub Aug 12, 2019.
Abstract:	Sensing techniques based on accelerometers for modal parameters identification are among the most studied and applied in Structural Health Monitoring of civil structures. The advent of low-cost MEMS accelerometers and open-source electronic platforms, such as Arduino, have facilitated the design of low-cost systems suitable for modal identification, although there is still a lack of studies regarding practical application and comparison of commercially available low-cost accelerometers under SHM conditions. This work presents an experimental performance evaluation of six low-cost MEMS accelerometers for the identification of natural frequencies and damping ratios of a three-storey frame model and a reinforced concrete slab, as well as their noise characteristics. A low-cost Arduino-based data acquisition system was used. The results showed an overall good performance of the MEMS accelerometers, with identified natural frequencies errors within 1.02% and 7.76% of reference values, for the three-storey frame and concrete slab, respectively, and a noise density as low as 108 g/√Hz.
metadata.dc.description.unidade:	Faculdade de Tecnologia (FT) Departamento de Engenharia Civil e Ambiental (FT ENC)
Description:	Trabalho apresentado no CILAMCE 2018: IBERO-LATIN AMERICAN CONGRESS ON COMPUTATIONAL METHODS IN ENGINEERING
Licença::	CC BY
DOI:	http://dx.doi.org/10.1590/1679-78255308
Collection(s) :	Artigos publicados em periódicos e afins

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